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Precision and Recall
Introduction
Precision and Recall
The F1-Score
The Tradeoff... Again
Not the End
Code with Python
Summary
Curvingo · Made in India

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Precision and RecallThe Tradeoff... Again

Reading time: ~5 min

Let us put all four scores on one chart: accuracy, precision, recall and F1, for every threshold from 0 to 100. Drag across the chart and complete both missions.

At low thresholds the test is jumpy: recall is 1 but precision is tiny. As the threshold rises, precision climbs and recall falls. F1 peaks at threshold 65, where precision and recall are , at 0.8 each.

And accuracy? From threshold 50 upwards it stays between 0.95 and 0.98, while recall crashes from 0.9 all the way to 0. That flat grey line is the final proof that accuracy was the wrong judge for this camp.

Sina